Sexual Harassment at Work and Its Different Facets: Age and Gender Differences in the Post-#Metoo Era.
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| Title: | Sexual Harassment at Work and Its Different Facets: Age and Gender Differences in the Post-#Metoo Era. |
|---|---|
| Authors: | Rosander, Michael1 (AUTHOR) michael.rosander@liu.se, Einarsen, Ståle Valvatne2 (AUTHOR) |
| Source: | Journal of Child Sexual Abuse. May2026, Vol. 35 Issue 4, p421-444. 24p. |
| Subject Terms: | *Corporate culture, *Employment, Risk assessment, Cross-sectional method, Pearson correlation (Statistics), Supervision of employees, Research funding, Work environment, Sex distribution, Statistical sampling, Questionnaires, Multiple regression analysis, Public sector, Age distribution, Structural equation modeling, Chi-squared test, Descriptive statistics, Disease prevalence, Private sector, Odds ratio, Sexual harassment, Women employees, Confidence intervals, Data analysis software |
| Geographic Terms: | Sweden |
| Abstract: | Sexual harassment remains a persistent issue in working life, yet research often treats it as a uniform phenomenon. The present study aimed to provide a more nuanced understanding by examining the prevalence and risk patterns of three distinct forms of sexual harassment – sexualized conduct, unwanted sexual attention, and sexual coercion – while focusing on gender, age, and workplace context. Data were drawn from a nationally representative probability sample of the Swedish workforce (N = 3,307), with calibrated weights based on the total population register. Overall, 15.6% had experienced at least one form of sexual harassment in the past six months. Women – particularly younger women – were overrepresented among those exposed to unwanted sexual attention, while no gender differences emerged for sexualized conduct or sexual coercion. Women in the private sector and men in the municipal sector reported higher exposure. Being in a gender minority increased exposure for both genders. Opposite-sex supervisory relationships were associated with heightened exposure, especially for unwanted sexual attention. The results underscore the importance of distinguishing between types of sexual harassment, as well as considering relational and contextual factors. These insights have practical implications for designing targeted interventions and prevention strategies sensitive to gender dynamics, group composition, and leadership structures in the workplace. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Child Sexual Abuse is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 194575170 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Sexual Harassment at Work and Its Different Facets: Age and Gender Differences in the Post-#Metoo Era. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Rosander%2C+Michael%22">Rosander, Michael</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> michael.rosander@liu.se</i><br /><searchLink fieldCode="AR" term="%22Einarsen%2C+Ståle+Valvatne%22">Einarsen, Ståle Valvatne</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Child+Sexual+Abuse%22">Journal of Child Sexual Abuse</searchLink>. May2026, Vol. 35 Issue 4, p421-444. 24p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Corporate+culture%22">Corporate culture</searchLink><br />*<searchLink fieldCode="DE" term="%22Employment%22">Employment</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Cross-sectional+method%22">Cross-sectional method</searchLink><br /><searchLink fieldCode="DE" term="%22Pearson+correlation+%28Statistics%29%22">Pearson correlation (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Supervision+of+employees%22">Supervision of employees</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Work+environment%22">Work environment</searchLink><br /><searchLink fieldCode="DE" term="%22Sex+distribution%22">Sex distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+sampling%22">Statistical sampling</searchLink><br /><searchLink fieldCode="DE" term="%22Questionnaires%22">Questionnaires</searchLink><br /><searchLink fieldCode="DE" term="%22Multiple+regression+analysis%22">Multiple regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Public+sector%22">Public sector</searchLink><br /><searchLink fieldCode="DE" term="%22Age+distribution%22">Age distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+equation+modeling%22">Structural equation modeling</searchLink><br /><searchLink fieldCode="DE" term="%22Chi-squared+test%22">Chi-squared test</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Disease+prevalence%22">Disease prevalence</searchLink><br /><searchLink fieldCode="DE" term="%22Private+sector%22">Private sector</searchLink><br /><searchLink fieldCode="DE" term="%22Odds+ratio%22">Odds ratio</searchLink><br /><searchLink fieldCode="DE" term="%22Sexual+harassment%22">Sexual harassment</searchLink><br /><searchLink fieldCode="DE" term="%22Women+employees%22">Women employees</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Sweden%22">Sweden</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Sexual harassment remains a persistent issue in working life, yet research often treats it as a uniform phenomenon. The present study aimed to provide a more nuanced understanding by examining the prevalence and risk patterns of three distinct forms of sexual harassment – sexualized conduct, unwanted sexual attention, and sexual coercion – while focusing on gender, age, and workplace context. Data were drawn from a nationally representative probability sample of the Swedish workforce (N = 3,307), with calibrated weights based on the total population register. Overall, 15.6% had experienced at least one form of sexual harassment in the past six months. Women – particularly younger women – were overrepresented among those exposed to unwanted sexual attention, while no gender differences emerged for sexualized conduct or sexual coercion. Women in the private sector and men in the municipal sector reported higher exposure. Being in a gender minority increased exposure for both genders. Opposite-sex supervisory relationships were associated with heightened exposure, especially for unwanted sexual attention. The results underscore the importance of distinguishing between types of sexual harassment, as well as considering relational and contextual factors. These insights have practical implications for designing targeted interventions and prevention strategies sensitive to gender dynamics, group composition, and leadership structures in the workplace. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Child Sexual Abuse is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/10538712.2026.2683981 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 421 Subjects: – SubjectFull: Corporate culture Type: general – SubjectFull: Employment Type: general – SubjectFull: Risk assessment Type: general – SubjectFull: Cross-sectional method Type: general – SubjectFull: Pearson correlation (Statistics) Type: general – SubjectFull: Supervision of employees Type: general – SubjectFull: Research funding Type: general – SubjectFull: Work environment Type: general – SubjectFull: Sex distribution Type: general – SubjectFull: Statistical sampling Type: general – SubjectFull: Questionnaires Type: general – SubjectFull: Multiple regression analysis Type: general – SubjectFull: Public sector Type: general – SubjectFull: Age distribution Type: general – SubjectFull: Structural equation modeling Type: general – SubjectFull: Chi-squared test Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Disease prevalence Type: general – SubjectFull: Private sector Type: general – SubjectFull: Odds ratio Type: general – SubjectFull: Sexual harassment Type: general – SubjectFull: Women employees Type: general – SubjectFull: Confidence intervals Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Sweden Type: general Titles: – TitleFull: Sexual Harassment at Work and Its Different Facets: Age and Gender Differences in the Post-#Metoo Era. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Rosander, Michael – PersonEntity: Name: NameFull: Einarsen, Ståle Valvatne IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 10538712 Numbering: – Type: volume Value: 35 – Type: issue Value: 4 Titles: – TitleFull: Journal of Child Sexual Abuse Type: main |
| ResultId | 1 |